Machine Learning Engineer — AI Search & Generative Recommendations

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 137,000 - 360,000

Full time

5 days ago
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Job summary

TikTok USDS Joint Venture LLC is seeking an independent developer for the Search team to advance its scalable, personalized search and recommendation systems using cutting-edge ML, LLMs and multi-modal tech.

The role emphasizes independent execution, LLM integration in the recommendation pipeline, and collaboration with product managers, data scientists and infrastructure engineers to deliver engaging user experiences for a broad global audience.

Qualifications

  • Bachelor's or advanced degree in Computer Science, ML, or a related field.
  • Proficient in ML frameworks (TensorFlow, PyTorch) and programming languages (Python, Java, C++).
  • 2+ years in developing large-scale search or recommendation systems.
  • Hands-on experience deploying LLMs for real-world applications, incl. prompt engineering & RLHF.

Responsibilities

  • Independent development, experimentation, analysis and deployment of large-scale personalized search & recommendation systems.
  • Research and integrate LLMs to enhance content understanding, user intent, and personalization.
  • Explore generative recommender approaches (GenRec) with LLMs/VLMs to generate relevant recommendations.
  • Collaborate with product, data science & infra teams to enable search personalization strategies.

Skills

ML frameworks
Python
Java
C++
Large-scale search
LLM experience

Education

Bachelor's or advanced degree in Computer Science / ML

Tools

TensorFlow
PyTorch

Job description

TikTok USDS Joint Venture LLC is seeking an independent developer for the Search team to advance its scalable, personalized search and recommendation systems using cutting-edge ML, LLMs and multi-modal tech.

The role emphasizes independent execution, LLM integration in the recommendation pipeline, and collaboration with product managers, data scientists and infrastructure engineers to deliver engaging user experiences for a broad global audience.

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